Özet:

From the past to the present economic growth has been one of the important issues studied in the economics literature. In this study, which is considered a strong indicator of economic growth in recent years with night lights data are calculated in consideration of neighborhood relations with the GDP variable is considered to be income differences among the provinces have been identified. In addition, it is thought that the growth process can affect imports, exports, public investment and population variables into the model by including also the application of spatial econometrics have been given. For this purpose, the spatial autoregressive, spatial error and spatial Durbin models generated Maximum Likelihood (ML) method were estimated. According to the Wald test result, it was decided that the most suitable model was spatial Durbin. According to the results; public investment, population with GDP, import, population of neighboring provinces at the 5% significance level are significant and public investment, population, import of neighboring provinces are found positively related  with the economic growth but negatively related with population of neighboring provinces.

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